Lambda

Lambda workspaces help teams organize cloud resources, control access, and separate dev, staging, and production in shared GPU environments. A junior researcher kills a production training run. A contractor sees weights they shouldn't. If...

High signal Matched: gpu, introducing, weights, cloud, training

When we design large GPU clusters, the network is no longer a background system. It's part of the compute envelope. At the 800G and NVIDIA GB300 NVL72 scale, the back-end fabric accounts for 86% of networking power in a three-layer cluster...

High signal Matched: generation, token generation, throughput, infiniband, gpu, model, retrieval, agentic

After 15 months of incremental updates, leaks, and rumored leaks, DeepSeek released version 4. It arrived without the fanfare R1 and R1-preview commanded in early 2025. That quiet reception is the most interesting thing about the release....

High signal Matched: inference, serving, performance, cost, release, model, open-source

The unit of AI compute has shifted from single hosts to rack-scale systems that integrate NVIDIA GPUs, CPUs, scale-up networking fabrics, and liquid cooling, such as the NVIDIA GB300 NVL72 and NVIDIA Vera Rubin NVL72. Teams at the frontier...

High signal Matched: serving, performance, cloud, training, api

What the numbers mean for financial services Executive summary Lambda is the first to publish an audited STAC-AI™ LANG6 result on NVIDIA HGX B200, with independently verified performance data that Financial Services Industry (FSI) infrastr...

High signal Matched: inference, generation, performance, gpu, h200, b200, model, evaluating

HRT turns to Lambda as on-premise infrastructure reaches its ceiling

Watchlist Matched: research

Upsized financing builds on August 2025 credit facility, supporting continued expansion of Lambda's AI factory footprint

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Co-founder Stephen Balaban to lead technology vision full-time as CTO; global infrastructure operator Michel Combes named CEO; former AT&T CEO John Donovan appointed Chairman of the Board

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Consider two teams provisioning 8,192 GPUs for a large training run. Same model, same dataset, same budget. Team A lands on a facility purpose-built for AI with sufficient power density, carefully engineered liquid cooling, a high-performa...

Watchlist Matched: performance, model, training

Harnesses If you've used Claude Code or Codex, you've used a harness. A harness is the infrastructure layer that wraps an AI coding agent and decides how it operates, what it can touch, and how you measure whether it worked. It's how most...

Watchlist Matched: gpu, training, post-training, agent, agents, open-source